Role : Data Scientist (Senior / Principal Level)

Experience Required : 14+ Years

Location : Remote (Requires 70% to 80% Travel)

Duration : Long-Term Contract

Work Authorization : Only Visa Independent Candidates (USC, GC, etc.)

Required Links : Candidate's LinkedIn profile & Hirist profile must be submitted.

Where Youre Headed (The Mission) :

In this role, you will creatively leverage data to solve complex business challenges, frequently uncovering new and transformative opportunities for the organization.

By applying advanced analytics, quantitative tools, and robust modeling techniques, you will interpret data patterns and deliver high-impact strategic recommendations based on your insights.

Where Youve Been (Technical & Professional Profile) :

You are a highly analytical problem solver, data expert, and an exceptional communicator who possesses the deep mathematical and technical knowledge required to build new machine learning algorithms completely from scratch.

Key Requirements & Qualifications :

- Education : Advanced degree (Master's or Ph.D. preferred) in a highly quantitative field such as Computer Science, Engineering, Physics, Statistics, or Applied Mathematics.

- Core Experience : Minimum of 14+ years of progressive experience in advanced data analytics and data science domains.

- Programming Mastery : Strong, hands-on knowledge of programming languages with a sharp focus on machine learning and advanced analytics (specifically Python, R, and Scala).

- Data Architecture : Extensive experience manipulating, query-building, and extracting value from exceptionally large datasets and relational databases.

- Methodologies : Deep familiarity and working knowledge of statistical modeling, predictive analytics, and data-mining techniques.

- Soft Skills : A highly collaborative spirit with the verified ability to translate and communicate complex data architecture and technical insights effectively to both internal engineering colleagues and non-technical client stakeholders.

- Problem Solving : Elite diagnostic skills; able to analyze multi-layered data anomalies, identify root causes, and deploy production-level solutions rapidly.